[Preprint] "TransGAN: Two Transformers Can Make One Strong GAN", Yifan Jiang, Shiyu Chang, Zhangyang Wang

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

Punctuation Restoration using Transformer Models for High-and Low-Resource Languages

An optimized Transformer based abstractive summarization model with Tensorflow

Using a Transformer for learning the Language Model and Generate Short Jokes

Dịch máy giữa ngôn ngữ anh-viet

Low resource machine translation using Transformers and Iterative Back translation

Master's thesis repository with evaluation of BERT-based models on Quora Question Dataset, in comparison to Siamese LSTM models

Reading comprehension based question-answering model for news articles.

A transformer-based model for automatic Image Captioning

Bangla Sentiment Classification

Simple Text Summarization docker using PageRank, Deep Learning or Bert/Transformer)

Attention Is All You Need

Dost thou readeth thine description? An English->Shakespearian translator in TensorFlow 2.0+

Offered by deeplearning.ai via Coursera. The course is taught by Younes Bensouda Mourri, Łukasz Kaiser, and Eddy Shyu.

🌈 This repo will assist you to translate one language into another using different open-source models.

Code + data for the EMNLP'20 publication "Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages"

Riiid! Answer Correctness Prediction